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foundational ML and NLP innovations. This work involves the development and applications of encoding and generative NLP models (e.g., large language models, LLMs), and includes model training, tuning and
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, safeguards, and healthcare. The Group is heavily involved in engineering design, modeling, testing, and field deployment of radiation detection systems to support sponsors in their operation and research. In
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or deployment of services involving physics modelling, AI/ML, or digital twin functionality Experience supporting activities under DOE Order 413.3B relating to project management, Earned Value Management Systems
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the area of electric power grids. Essential Duties and Responsibilities: • Perform cyber-physical system modeling and simulation for the power grid. • Perform research on power system dynamics and
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simulation, AI based detector design optimization, streaming computing model development, production, distributed computing and workflow management, software infrastructure, particle ID, tracking
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scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) novel development of deep learning ML models and adaptation of existing ones
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members Design circuit networks, using schematic entry and layout tools with full-custom or timing-driven layout tools in Cadence or similar CAD/EDA environment Develop models of circuit networks and system
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and imaging x-ray tools, supported by computational resources for high-throughput analysis and modeling. The program’s scientific focus is to understand and optimize the structural and chemical features
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life – including the explosion of large language model (LLM) releases. BNL is engaged in numerous research efforts that employ NLP techniques for science and security applications and uses
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a